Sökning: "Stereo Setup"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Stereo Setup.

  1. 1. ROS-based implementation of a model car with a LiDAR and camera setup

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Marcus Nises; [2023]
    Nyckelord :LiDAR; ROS; stereoscopic camera; SLAM; Linux; rplidar a1; raspberry pi;

    Sammanfattning : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. LÄS MER

  2. 2. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Daniel Cranston; Filip Skarfelt; [2019]
    Nyckelord :Disparity Map; Disparity Refinement; Dataset Generation; Neural Network; Normalized Convolution;

    Sammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER

  3. 3. Monocular Depth Estimation Using Deep Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Susanna Larsson; [2019]
    Nyckelord :Depth estimation; depth maps; monocular SLAM; mono-SLAM; pixelwise depth prediction; encoder-decoder network;

    Sammanfattning : For a long time stereo-cameras have been deployed in visual Simultaneous Localization And Mapping (SLAM) systems to gain 3D information. Even though stereo-cameras show good performance, the main disadvantage is the complex and expensive hardware setup it requires, which limits the use of the system. LÄS MER

  4. 4. Simplifying stereo camera calibration using M-arrays

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sebastian Grans; [2019]
    Nyckelord :;

    Sammanfattning : Digitization of objects in three dimensions, also known as 3D scanning, is becoming increasingly prevalent in all types of fields. Ranging from manufacturing, medicine, and even cultural heritage preservation. LÄS MER

  5. 5. Correspondence-based pairwise depth estimation with parallel acceleration

    Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Författare :Nadine Bartosch; [2018]
    Nyckelord :Depth estimation; disparity; stereo vision; stereo correspondence; NVIDIA; GPU; CUDA; parallelization;

    Sammanfattning : This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. LÄS MER